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Run repeatable eval suites against prompts, RAG pipelines, and agents so regressions surface before release.
--- name: regression-test-llm-apps-and-agents-with-metrics-tr-2a9f7e4b566e slug: "regression-test-llm-apps-and-agents-with-metrics-traces-and-eval-suites-using-deepeval" description: "Run repeatable eval suites against prompts, RAG pipelines, and agents so regressions surface before release." github_stars: 14815 verification: "security_reviewed" source: "https://github.com/confident-ai/deepeval" author: "Confident AI" publisher_type: "organization" category: "Code Quality & Review" framework: "Multi-Framework" tool_ecosystem: github_repo: "confident-ai/deepeval" github_stars: 14815 npm_package: "deepeval" npm_weekly_downloads: 1263 --- # Regression test LLM apps and agents with metrics, traces, and eval suites using DeepEval Run repeatable eval suites against prompts, RAG pipelines, and agents so regressions surface before release. ## Prerequisites Python or Node.js, API access to an LLM judge or compatible local models, CI optional ## Installation Use the upstream install or setup path that matches your environment: - pip install -U deepeval Requirements and caveats from upstream: - Deepeval works with **Python>=3.9+**. - python Basic usage or getting-started notes: - <a href="#-quickstart">Getting Started</a> | - **DeepEval** is a simple-to-use, open-source LLM evaluation framework, for evaluating large-language model systems. It is similar to Pytest but specialized for unit testing LLM apps. DeepEval incorporates the latest r... - 📐 Large variety of ready-to-use LLM eval metrics (all with explanations) powered by **ANY** LLM of your choice, statistical methods, or NLP models that run **locally on your machine** covering all use cases: - Source: https://github.com/confident-ai/deepeval - Extracted from upstream docs: https://raw.githubusercontent.com/confident-ai/deepeval/HEAD/README.md ## Documentation - https://docs.confident-ai.com/docs/getting-started ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/regression-test-llm-apps-and-agents-with-metrics-traces-and-eval-suites-using-deepeval/)--- name: regression-test-llm-apps-and-agents-with-metrics-tr-2a9f7e4b566e slug: "regression-test-llm-apps-and-agents-with-metrics-traces-and-eval-suites-using-deepeval" description: "Run repeatable eval suites against prompts, RAG pipelines, and agents so regressions surface before release." github_stars: 14815 verification: "security_reviewed" source: "https://github.com/confident-ai/deepeval" author: "Confident AI" publisher_type: "organization" category: "Code Quality & Review" framework: "Multi-Framework" tool_ecosystem: github_repo: "confident-ai/deepeval" github_stars: 14815 npm_package: "deepeval" npm_weekly_downloads: 1263 --- # Regression test LLM apps and agents with metrics, traces, and eval suites using DeepEval Run repeatable eval suites against prompts, RAG pipelines, and agents so regressions surface before release. ## Prerequisites Python or Node.js, API access to an LLM judge or compatible local models, CI optional ## Installation Use the upstream install or setup path that matches your environment: - pip install -U deepeval Requirements and caveats from upstream: - Deepeval works with **Python>=3.9+**. - python Basic usage or getting-started notes: - <a href="#-quickstart">Getting Started</a> | - **DeepEval** is a simple-to-use, open-source LLM evaluation framework, for evaluating large-language model systems. It is similar to Pytest but specialized for unit testing LLM apps. DeepEval incorporates the latest r... - 📐 Large variety of ready-to-use LLM eval metrics (all with explanations) powered by **ANY** LLM of your choice, statistical methods, or NLP models that run **locally on your machine** covering all use cases: - Source: https://github.com/confident-ai/deepeval - Extracted from upstream docs: https://raw.githubusercontent.com/confident-ai/deepeval/HEAD/README.md ## Documentation - https://docs.confident-ai.com/docs/getting-started ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/regression-test-llm-apps-and-agents-with-metrics-traces-and-eval-suites-using-deepeval/)
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.